Andrew P. Daire, Kelsee Tucker, Naomi J. Wheeler, Xun Liu, Brooke Williams, Rachel A Regal, T. Peoples, Teddy Moumouris
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引用次数: 0
Abstract
Abstract With a sample of 2,118 largely low-income, ethnic minority individuals with and without chronic illness (CI), this study examines couple-oriented relationship education (RE) on emotional distress levels. We applied a correlational research design to examine dyadic changes in distress following a couple RE intervention with a one-group pretest-posttest design. Female participants reported higher relationship distress at baseline. Both females and males showed significant improvement in distress post-RE intervention (Wilks’ λ =.93, F (1, 669) = 79.49, p < .001, η2 = .08); women showed greater improvements at the end of the RE intervention, despite posttest relational distress still being greater than men. The CI group did not benefit more than the non-CI group suggesting further investigation regarding changes in distress post-RE for couples with CI. Counselors may find couple-oriented RE intervention useful to promote relational health in those with CI or as part of a holistic health intervention.
期刊介绍:
Counseling Outcome Research and Evaluation (CORE) provides counselor educators, researchers, educators, and other mental health practitioners with outcome research and program evaluation practices for work with individuals across the lifespan. It addresses topics such as: treatment efficacy, clinical diagnosis, program evaluation, research design, outcome measure reviews. This journal also serves to address ethical, legal, and cultural concerns in the assessment of dependent variables, implementation of clinical interventions, and outcome research. Manuscripts typically fall into one of the following categories: Counseling Outcome Research: Treatment efficacy and effectiveness of mental health, school, addictions, rehabilitation, family, and college counseling interventions across the lifespan as reported in clinical trials, single-case research designs, single-group designs, and multi- or mixed-method designs.